Product green design-oriented knowledge collaborative clustering method

Abstract

The invention relates to the technical field of knowledge clustering, and discloses a product green design-oriented knowledge collaborative clustering method, which comprises the following steps of: 1, constraining knowledge required in a product green design process in two aspects of functions and attributes, establishing a knowledge model of feature constraint, and limiting a knowledge research range to obtain a knowledge model; 2, distinguishing data types of different knowledge, calculating consideration based on similarity, and respectively selecting corresponding distance calculation formulas, and 3, aiming at a new design requirement, firstly, performing one-layer retrieval clustering on different functional characteristics in combination with a semantic tree. According to the product green design-oriented knowledge collaborative clustering method, green design knowledge can be effectively managed, the purposes of reducing research and development cost and improving product design quality are achieved, fragmented and isomerized knowledge can be processed, and numerous and complicated data can be quickly and accurately collaborative clustered.

Description

technical field [0001] The invention relates to the technical field of knowledge clustering, in particular to a knowledge collaborative clustering method oriented to product green design. Background technique [0002] In the context of the current big data era, knowledge clustering has always played an important and active role in the development of knowledge engineering. It is a product of the rapid rise of science and technology. It is required to process, transform and integrate knowledge elements, so as to obtain more valuable or more usable new knowledge, and at the same time optimize and integrate knowledge objects in terms of functions, attributes and structures, and provide knowledge-based follow-up services. Conceptual design such as product green design requires a lot of design knowledge at each stage of design activities. However, during the design process, engineers usually spend a lot of time processing the above-mentioned scattered data sources to obtain the re...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a knowledge collaborative clustering method for product green design, which can effectively manage green design knowledge, reduce research and development costs, improve the quality of product design, and can also reduce fragmentation , Heterogeneous knowledge is processed, so that complex data can be clustered quickly and accurately, which solves the problem of ineffective management of green design knowledge, achieves the purpose of reducing R&D costs and improving the quality of product design. Moreover, Aiming at the lack of connection of fragmented and heterogeneous knowledge, it is not easy to deal with, and it is impossible to quickly and accurately cluster complex data

Images